debug-flow

Отладка неудачного запуска потока Power Automate. Используйте, когда поток завершился с ошибкой, содержит ошибки или пользователь хочет устранить неполадки запуска.

npx skills add https://github.com/microsoft/power-platform-skills --skill debug-flow

Debug a Failed Flow Run

You are helping the user debug a failed Power Automate flow run.

Tools

This skill uses the FlowAgent MCP tools. Clients surface them with a client-specific prefix — mcp__flowagent__<tool> (Claude Code) or flowagent-<tool> (Copilot CLI) — so they're referred to by bare name below. If MCP tools aren't available, run /setup to wire the FlowAgent MCP server.

ToolPurpose
list_flowsFind flows by name (use name param for search)
get_run_historyGet recent runs for a flow
diagnose_runOne-shot: classify failed actions with remediations
get_run_detailsGet details for a specific run
get_run_actionsGet action-level execution trace
get_run_action_repetitionsIteration-level detail for a loop (which iteration failed — pass an action inside the loop)
get_flowGet flow definition for context
get_operation_detailsConfirm the correct action type / parameters
edit_flowApply a surgical fix to one action/parameter
update_flowReplace the whole definition (large rewrites)
run_flowRe-run after fix (use wait: true to see result)
resubmit_run / cancel_runResubmit a fixed run / cancel a stuck one

Steps

  1. Identify the flow and run

    • Parse $ARGUMENTS for flow ID and optional run ID.
    • If no flow ID, call list_flows with name param to search. Ask user to pick if ambiguous.
    • If no run ID, call get_run_history and find the most recent failed run.
    • Present recent runs in a table: Run ID | Status | Start Time | Error
  2. Fast triage with diagnose_run

    • Call diagnose_run for the run — it returns the failed/timed-out actions already classified with a remediation each. Use this as the starting point.
    • For deeper analysis, also fetch (in parallel): get_run_actions (full trace) and get_flow (definition context). For a failed loop, call get_run_action_repetitions on an action inside the loop to find the failing iteration.
  3. Analyze failures

    • Identify actions with status != "Succeeded"
    • Trace the runAfter dependency chain to separate root cause from cascading failures:
      • Root cause: action whose dependencies all Succeeded but it failed
      • Cascading: actions skipped because a dependency failed
    • Report root cause actions with: name, type, error code, error message
  4. Root cause classification

    • Connection errors (AuthorizationFailed, ConnectionNotFound, InvokerConnectionOverrideFailed): Suggest re-auth or fix connection source to Embedded
    • Expression errors (ExpressionEvaluationFailed, InvalidTemplate): Show the expression, explain what's wrong, suggest fix
    • API/External errors (401/403/404/429/500+): Explain the HTTP error, check connector status
    • Parameter errors (WorkflowOperationParametersRuntimeMissingValue): Missing/empty required parameter. Add null guard: @if(empty(...), 'default', ...)
    • Timeout (ActionTimedOut): Suggest retry policy or splitting the operation
    • Type mismatch (InvalidOpenApiConnectionOperationType): Wrong action type. Call get_operation_details to find correct type.
  5. Suggest fix

    • Provide a specific fix with code/expression changes.
    • If the fix is a definition change, offer to apply it with edit_flow (surgical, one action/parameter) — fall back to update_flow only for large rewrites.
  6. Re-test

    • Offer to call run_flow with wait: true to verify the fix works (or resubmit_run to retry the original run with its trigger inputs).
    • Report the result: Succeeded/Failed with action details.

Output Format

Diagnosis Summary

  • Flow: [name] ([ID])
  • Run: [run ID] | [start time] | Status: [status]

Failed Actions

#ActionStatusError CodeError Message

Root Cause

Fix

[Step-by-step fix with code]

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